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· Engineering

Senior Security Engineer - Vulnerability

Endor Labs

Senior · 5+ yrsOn-site · Bengaluru, IndiaListed 19d ago
Apply now

Backed by

Lightspeed India

HQ

🇮🇳 Palo Alto, CA, United States

Open roles

38

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Experience Senior · 6+ yrs (5+ years)

About the role

structured by ORI

Who we are Our mission is to help developers and AppSec teams spend more time accelerating development and less time dealing with security issues. Watch our 3 min pitch from our Founder & CEO here: https://www.youtube.com/watch?v=B0wmZBcPkFE Endor Labs has been recognized as a Gartner Cool Vendor, a RSA Innovation…

What you will do

  • Help the team further advance Endor Labs'proprietary vulnerability database — extending and improving our existing AI pipelines, e.g., in the areas of automated vulnerability validation, reachability analysis, and exploit generation.
  • Monitoring and managing pipelines that triage, enrich, and prioritize vulnerabilities at scale, working with the standards and data sources the ecosystem is built on (CVE, CWE, CVSS, EPSS, PURL, NVD, OSV, GHSA, VEX) and continuously improving the accuracy, coverage, and timeliness of our data.
  • Work hand-in-hand with our world-class 0-day researchers to scale automated vulnerability discovery — turning manual research workflows into repeatable, production-grade systems.
  • Investigate high-impact vulnerabilities and the vulnerability landscape at large, and author external-facing content — blog posts, technical write-ups, and advisories — communicating findings clearly to both technical and non-technical audiences.
  • Collaborate with internal teams to feed findings into detection and analysis pipelines, enrich our vulnerability database, and help improve automated coverage over time

What they are looking for

  • Bachelor's degree in engineering or a related field, with at least 3 years of hands-on professional experience in vulnerability research, vulnerability management, product security, or application security
  • Extensive knowledge of software vulnerabilities, triage, and prioritization, including deep familiarity with the associated standards and technologies (CVE, CWE, CVSS, EPSS, PURLs, NVD, OSV, VEX, SBOM formats)
  • Hands-on experience building production-grade solutions at enterprise scale — e.g., CI/CD automation, management of SAST/SCA findings, or comparable security tooling deployed across large engineering organizations
  • Demonstrated experience shipping AI/agentic systems to production — LLM pipelines, agent frameworks, tool use, prompt and eval design — with a clear track record of measuring output quality and a sound sense of where these approaches hold up and where they don't
  • Proficiency in reading and analyzing code across multiple languages (Python, JavaScript/TypeScript, Java, Go), and comfort reasoning about patches, root causes, and exploitability
  • Experience producing external security communications: blog posts, advisories, or technical reports intended for a public or customer-facing audience

Nice to have

  • Experience writing proof-of-concept exploits, or with fuzzing, static analysis, or automated vulnerability discovery
  • Contributions to open source vulnerability databases, scanners, or related tooling (OSV, osv-scanner, OpenVEX, etc.)
  • Familiarity with SAST, SCA, and DAST tooling and the realities of triaging their output at scale
  • Understanding of software supply chain security standards and frameworks (SLSA, SSDF, etc.)
  • Prior public research, CVE credits, or published vulnerability findings
  • Security certifications such as OSCP, OSCE, or equivalent
Vulnerability ResearchApplication SecurityProduct SecurityFuzzingStatic AnalysisLLMPrompt DesignEval DesignPythonJavaScriptTypeScriptJavaGoSASTSCADAST
Full posting text

Who We Are

AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation.

The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.

AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.

The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few.

Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We’ve raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital.

Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us.

What you’ll do

The primary focus of this position is to help the team further advance Endor Labs'proprietary vulnerability database — extending and improving our existing AI pipelines,

e.g., in the areas of automated vulnerability validation, reachability analysis, and exploit generation.

Day-to-day work includes monitoring and managing pipelines that triage, enrich, and prioritize vulnerabilities at scale, working with the standards and data sources the

ecosystem is built on (CVE, CWE, CVSS, EPSS, PURL, NVD, OSV, GHSA, VEX) and continuously improving the accuracy, coverage, and timeliness of our data.

You will work hand-in-hand with our world-class 0-day researchers to scale automated vulnerability discovery — turning manual research workflows into repeatable,

production-grade systems.

You will investigate high-impact vulnerabilities and the vulnerability landscape at large, and author external-facing content — blog posts, technical write-ups, and advisories —

communicating findings clearly to both technical and non-technical audiences.

You will collaborate with internal teams to feed findings into detection and analysis pipelines, enrich our vulnerability database, and help improve automated coverage over

time

What we're looking for

Bachelor's degree in engineering or a related field, with at least 5 years of hands-on professional experience in vulnerability research, vulnerability management, product

security, or application security

Extensive knowledge of software vulnerabilities, triage, and prioritization, including deep familiarity with the associated standards and technologies (CVE, CWE, CVSS, EPSS,

PURLs, NVD, OSV, VEX, SBOM formats)

Hands-on experience building production-grade solutions at enterprise scale — e.g., CI/CD automation, management of SAST/SCA findings, or comparable security tooling

deployed across large engineering organizations

Demonstrated experience shipping AI/agentic systems to production — LLM pipelines, agent frameworks, tool use, prompt and eval design — with a clear track record of

measuring output quality and a sound sense of where these approaches hold up and where they don't

Proficiency in reading and analyzing code across multiple languages (Python, JavaScript/TypeScript, Java, Go), and comfort reasoning about patches, root causes,

and exploitability

Experience producing external security communications: blog posts, advisories, or technical reports intended for a public or customer-facing audience

Nice to have

Experience writing proof-of-concept exploits, or with fuzzing, static analysis, or automated vulnerability discovery

Contributions to open source vulnerability databases, scanners, or related tooling (OSV, osv-scanner, OpenVEX, etc.)

Familiarity with SAST, SCA, and DAST tooling and the realities of triaging their output at scale

Understanding of software supply chain security standards and frameworks (SLSA, SSDF, etc.)

Prior public research, CVE credits, or published vulnerability findings

Security certifications such as OSCP, OSCE, or equivalent

At Endor Labs, we:

Strive for excellence in everything we do, prioritizing quality, speed, and impactful outcomes.

Engage in first principles thinking to debate ideas, test assumptions, and make decisions.

Put data above opinions, seeking truth and clarity in all our endeavors.

Embrace a culture of feedback and continuous improvement, assuming good intent in all interactions.

Celebrate wins as a team, understanding that our collective success is intertwined with the success of our customers.

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Endor Labs

Software Development

Endor Labs is the AppSec platform built for the AI era. It helps teams find, prioritize, and fix the most critical risks in code, whether written by humans or AI—faster. Endor Labs understands the entire structure of your codebase, from 40 year-old C++ to modern Bazel monorepos. Powered by AI agents and the industry's richest security dataset about open source code, Endor Labs doesn’t just flag issues, it reduces noise, prioritizes what matters most, and proposes intelligent remediations based on the context of your code.

Whether you’re an upstart or in the Fortune 500, Endor Labs helps AppSec

Backed by Lightspeed India

Company pageWebsite

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